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contributor authorAmend, Jonas
contributor authorChowdhury, Nafiz
contributor authorPovey, Thomas
date accessioned2025-04-21T10:09:42Z
date available2025-04-21T10:09:42Z
date copyright8/6/2024 12:00:00 AM
date issued2024
identifier issn0889-504X
identifier otherturbo_147_1_011001.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305618
description abstractIn this paper we investigate the impact of lean-burn-representative swirl and temperature distortion on the aerothermal performance of fully-cooled high-pressure nozzle guide vanes (NGVs) from a modern aero-engine. Experiments were carried out in the Engine Component AeroThermal (ECAT) facility at the University of Oxford. This is a fully-annular warm-flow engine parts facility, designed to operate at engine-representative conditions of Reynolds and Mach number. Inlet profiles of swirl, turbulence, and non-dimensional total temperature were generated using a non-reacting combustor simulator. The NGV outlet flow was experimentally characterized at three downstream planes in experiments with and without lean-burn-representative inlet conditions. Area-survey measurements included distributions of whirl angle, kinetic energy (KE) loss, and non-dimensional total temperature. Experimental data is compared to computational fluid dynamics (CFD) simulations. Fully-featured NGV geometry (including film cooling holes and internal passages) was used, to account for internal cooling flow redistribution resulting from altered external loading. We show that lean-burn inlet conditions result in significant surface flow redistribution, relatively high levels of residual swirl in the downstream flow, and a small increase of integrated KE loss.
publisherThe American Society of Mechanical Engineers (ASME)
titleImpact of Lean-Burn Combustor Flow on Nozzle Guide Vane Performance
typeJournal Paper
journal volume147
journal issue1
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4065701
journal fristpage11001-1
journal lastpage11001-17
page17
treeJournal of Turbomachinery:;2024:;volume( 147 ):;issue: 001
contenttypeFulltext


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